Mamdani says feds have abdicated on AI, urges New Yorkers to push back

Mamdani’s central message was that rapid AI adoption is a political choice, not an unstoppable force. He urged New Yorkers to resist fear that AI will inevitably take their jobs, affect their children’s minds, or diminish their dignity. Public officials, he argued, should question the technology and protect residents’ interests.

He pointed to New York’s school and housing policies as practical examples. The mayor banned AI use in elementary and middle schools. He also proposed requiring landlords, brokers, and real estate platforms to disclose AI-generated listing images and videos, helping prevent misleading “house-phishing.”

Mamdani said the federal government has largely stepped back from AI regulation, leaving cities to act independently. His broader argument is that governments should not simply accept technology as it arrives. They should demand accountability, examine failures, and create rules before companies’ influence becomes harder to challenge.

To regulate artificial intelligence is to establish rules, oversight, and accountability for systems that can affect people’s lives. Regulation can require disclosure, restrict certain uses, investigate harm, and make developers answer for failures. Mamdani argues that AI should not be treated as infallible or controlled only by the companies building it.

He described the federal government’s approach as a “complete abdication of federal law” on AI. President Donald Trump’s Superintelligence Task Force focuses largely on allowing powerful AI companies to self-regulate instead of creating new federal restrictions. That leaves cities to develop their own responses.

The article presents this gap as especially important because AI is spreading through schools, housing, and military targeting. Mamdani says national debate often centers on an arms race with China. He wants a framework that gives greater weight to human consequences, public oversight, and accountability after the current federal administration.

Mamdani introduced two policies that challenge the assumption that schools and the public must accept AI automatically. One policy bans AI use in elementary and middle schools. The other requires landlords, brokers, and real estate platforms to clearly disclose when listing photos or videos were made with AI.

The school ban responds to concerns about AI’s effect on children and learning environments. Ilana Glazer, a parent, said AI in classrooms feels non-consensual because it was not present two years earlier. The policy therefore limits its arrival in younger students’ schools rather than treating adoption as inevitable.

The real estate policy focuses on transparency. AI-generated images can make properties appear different from reality, potentially misleading people searching for homes. The article calls this deception “house-phishing.” Together, the policies show New York using local authority to restrict one use and expose another while federal rules remain weak.

The military strike described in the article was catastrophic. A February U.S. military strike on a school in Iran killed more than 150 people. At least 123 of those killed were children, making the incident a stark example of the possible human cost of flawed military decisions.

Officials involved in the Pentagon’s internal investigation told Bloomberg that overreliance on AI in targeting was one factor in the attack. The article does not say AI alone caused the strike. Instead, it identifies excessive dependence on the technology as one contributing factor under investigation.

Mamdani cited the strike while criticizing the reckless adoption of AI without a reckoning over its limitations. He said AI is often discussed as if it were infallible and beyond questioning. The incident supports his demand for stronger human oversight, accountability, and caution when AI influences decisions affecting life and death.

The article describes AI decision-making as fragmented. The federal government is doing little to create new national restrictions, so cities are acting on their own. New York has used local policies to ban AI in certain schools and require disclosure of AI-generated real estate materials.

At the same time, powerful AI companies retain major influence over their own rules. President Donald Trump’s Superintelligence Task Force largely emphasizes allowing those companies to self-regulate. Mamdani argues that developers should not be the only people deciding how AI is controlled, especially when they benefit financially from rapid expansion.

This arrangement creates an accountability gap. Federal officials often frame AI as part of competition with China, while local officials confront effects on schools, housing, and public safety. Mamdani wants a different national framework after the current administration, with public oversight and enforceable responsibility rather than relying mainly on cities or companies.

The arms-race framing presents artificial intelligence as a competition between the United States and China. In that approach, national power, technological leadership, and strategic advantage become the central policy concerns. The article says this is how AI conversations are often framed at the national level.

Mamdani argues that this language pushes humanistic concerns to the side. Those concerns include AI’s effects on jobs, children’s minds, dignity, schools, housing, and military decisions. The article also mentions warnings from whistleblowers at Paradox, Google DeepMind, and Axiom that AI could lead to human extinction.

He is not calling for AI to be ignored. He is asking officials to use a different framework after the current federal administration. That framework would focus more directly on accountability and the consequences for people, rather than treating regulation as something that might weaken national competition with China.

High capability does not make an AI system infallible. AI can produce harmful or mistaken results when its outputs are treated as unquestionable, especially in situations involving incomplete information or high stakes. The article emphasizes that technology has limitations that require serious examination.

The military strike in Iran illustrates the danger. A February strike on a school killed more than 150 people, including at least 123 children. Officials involved in the Pentagon’s internal investigation told Bloomberg that overreliance on AI in targeting was one factor. The article does not claim AI was the sole cause.

Mamdani says companies and officials should not present AI as beyond criticism. He also rejects the idea that only developers can regulate it. Human oversight, public accountability, and scrutiny of system limits are necessary because mistaken outputs can affect schools, housing, jobs, and human lives.